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Causal Inference Phd Internship Jobs (NOW HIRING)

Alembic

Research Engineer - Causal AI

San Francisco, CA · On-site

$200K - $250K/yr

Build production systems for causal inference that maintain statistical rigor at enterprise scale ... MS or PhD with significant applied research experience * Background in econometrics, statistics, or ...

PlayStation Global

OR

Bachelor's degree or equivalent. * 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). * Deep expertise in A/B testing and causal inference ...

Apple

Applied Scientist

Austin, TX · On-site

Engineer end-to-end scalable and robust Causal Inference products which provide Apple with an ... PhD in related field * Hands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied Scientist

Austin, TX · On-site

$171K - $302K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied Scientist

Austin, TX · On-site

$171K - $302K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... causal inference, and other related disciplines * Programming skills and familiarity of modern ML ...

Apple

Applied Scientist

Austin, TX · On-site

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related fieldHands-on experience leveraging Generative AI to improve productivity and ...

Apple

Applied ML Science Manager

Cupertino, CA · On-site

$198K - $342K/yr

You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... causal inference, and other related disciplines * Programming skills and familiarity of modern ML ...

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How much do causal inference phd internship jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for causal inference phd internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects do Causal Inference PhD interns typically work on during their internship?

Causal Inference PhD interns often engage in projects that involve designing and analyzing experiments or observational studies to draw valid conclusions about cause-and-effect relationships. These projects might include developing statistical models, collaborating with data scientists and product teams, and presenting findings to inform business or policy decisions. Interns usually have the opportunity to work with large-scale, real-world data, and are encouraged to publish or present their work at conferences, supporting both professional growth and academic development.

What are the key skills and qualifications needed to thrive as a Causal Inference PhD Intern, and why are they important?

To thrive as a Causal Inference PhD Intern, you need a strong background in statistics, econometrics, and causal inference methods, often supported by advanced graduate studies in a related field. Familiarity with statistical programming languages such as R or Python, and experience using data analysis tools and frameworks like Stata or TensorFlow Probability, are typically required. Excellent problem-solving abilities, critical thinking, and the ability to communicate complex concepts clearly help you stand out in this role. These skills and qualities are crucial for designing robust experiments, drawing reliable conclusions, and effectively collaborating with interdisciplinary research teams.

What is the difference between Causal Inference Phd Internship vs Data Scientist Internship?

AspectCausal Inference Phd InternshipData Scientist Internship
Required CredentialsPhD in statistics, economics, or related fieldBachelor's or Master's in CS, statistics, or related field
Work EnvironmentResearch-focused, academic or industry research teamsData analysis, modeling, and business insights
Employer & Industry UsageResearch institutions, tech companies, financeTech firms, startups, finance, healthcare
Search & Comparison IntentFocus on causal inference research rolesBroader data analysis roles

While a Causal Inference Phd Internship emphasizes research in causal analysis with advanced credentials, a Data Scientist Internship covers broader data analysis skills suitable for various industries. Both roles involve working with data, but their focus, required background, and career paths differ significantly.

What is a Causal Inference PhD Internship?

A Causal Inference PhD Internship is a specialized research position for doctoral students focused on causal inference, which involves determining cause-and-effect relationships from data. Interns typically work with large datasets, advanced statistical models, and machine learning techniques to answer questions about how variables influence one another. These internships are often offered by tech companies, research labs, or policy organizations and provide hands-on experience in designing experiments, analyzing observational data, and developing new methodologies. The goal is to bridge academic research with real-world applications, contributing to projects that require rigorous causal analysis.
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Causal Inference Phd Internship jobs near you
Biostatistics - Assistant Professor Positions in Causal Inference

Biostatistics - Assistant Professor Positions in Causal Inference

University of Pennsylvania

Philadelphia, PA • On-site

Full-time

Posted 21 days ago

University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

131st of 532 rated colleges and universities

Job description

Description
The Department of Biostatistics, Epidemiology and Informatics (DBEI) at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Assistant Professor positions in either the non-tenure clinician educator track or the tenure track. Expertise is required in the specific area of causal inference methods development and applications, with the ability to establish oneself as a research leader in their area of specialization. Applicants must have a Ph.D. or equivalent degree.
Teaching responsibilities may include participation in biostatistics PhD and MS training programs, as well as teaching biostatistics courses in epidemiology, health policy, and other biomedical programs. Candidates are expected to have a strong commitment to teaching and mentoring.
Research or scholarship responsibilities may include the development of innovative leading-edge statistical methodology as well as collaborative research projects within the Perelman School of Medicine.
The University of Pennsylvania is a vibrant team-science-oriented environment with elite biomedical research collaborators that is ideal for biostatistical collaboration and application-driven methodological research. The Division of Biostatistics includes over 30 full-time faculty with diverse expertise spanning numerous methodological and biomedical areas, and we have strong, highly ranked, and growing MS and PhD programs in which we train the next generation of innovative quantitative leaders. The placement of Biostatistics in the Perelman School of Medicine with world-class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children's Hospital of Philadelphia provides the ideal setting for cross-disciplinary collaboration and impactful quantitative research.
Please contact Cathy Vallejo for questions: vallejo@pennmedicine.upenn.edu
We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.

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About University of Pennsylvania

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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740

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